ansible.builtin.subelements filter – returns a product of a list and its elements

Note

This filter plugin is part of ansible-core and included in all Ansible installations. In most cases, you can use the short plugin name subelements even without specifying the collections: keyword. However, we recommend you use the FQCN for easy linking to the plugin documentation and to avoid conflicting with other collections that may have the same filter plugin name.

New in Ansible 2.7

Synopsis

  • This produces a product of an object and the subelement values of that object, similar to the subelements lookup. This lets you specify individual subelements to use in a template _input.

Input

This describes the input of the filter, the value before | ansible.builtin.subelements.

Parameter

Comments

Input

list / elements=any / required

Original list.

Positional parameters

This describes positional parameters of the filter. These are the values positional1, positional2 and so on in the following example: input | ansible.builtin.subelements(positional1, positional2, ...)

Parameter

Comments

_subelement

string / required

Label of property to extract from original list items.

skip_missing

boolean

If True, ignore missing subelements, otherwise missing subelements generate an error.

Choices:

  • false ← (default)

  • true

Examples

# data
users:
  - groups: [1,2,3]
    name: lola
  - name: fernando
    groups: [2,3,4]

# user_w_groups =>[ { "groups": [ 1, 2, 3 ], "name": "lola" }, 1 ], [ { "groups": [ 1, 2, 3 ], "name": "lola" }, 2 ], [ { "groups": [ 1, 2, 3 ], "name": "lola" }, 3 ], [ { "groups": [ 2, 3, 4 ], "name": "fernando" }, 2 ], [ { "groups": [ 2, 3, 4 ], "name": "fernando" }, 3 ], [ { "groups": [ 2, 3, 4 ], "name": "fernando" }, 4 ] ]
users_w_groups: {{ users | subelements('groups', skip_missing=True) }}

Return Value

Key

Description

Return value

list / elements=any

List made of original list and product of the subelement list.

Returned: success

Hint

Configuration entries for each entry type have a low to high priority order. For example, a variable that is lower in the list will override a variable that is higher up.